Data Scientist - AI/ML

Key Skills

Aartificial intelligence, Agile methodologies, Data Visualization, Keras software library, Machine learning techniques, Neo4J, Pandas, PowerBI, Python Programming, PyTorch, QuickSight, R Programming, Scikit-learn, Software Development

Job Description

Are you enthusiastic about driving the design of next generation healthcare solutions that will change the life of patients with diabetes and other serious chronic diseases? Do you want to be on the cutting edge of science to discover novel therapies and delivery technologies that patients both need and want? If yes, then this opportunity could be right for you, so apply today!

About the department

The AI and Analytics Team is part of Novo Nordisk’s Data Science division, where we apply sophisticated algorithms and machine learning techniques to some of the hardest problems in the discovery and development of new healthcare solutions. By leveraging a blend of scientific, problem-solving, and quantitative skills, we provide superior data insights that empower Novo Nordisk to further develop and deliver life-changing treatments. We work in multidisciplinary teams with strong collaboration across all areas of the organization and engage in external collaborations to ensure access to cutting edge research and technology. 

We believe in the value of a diverse and inclusive culture. Together, we build and grow talent to ensure the development of new solutions. The team is comprised of collaborative, diverse and passionate people who have a true sense of pride in their work. We are committed to helping each other grow, and we are driven by the opportunity to make a difference in the lives of people living with chronic disease.

The Position

The Data Scientist - AI/ML position contributes to the research team’s efforts towards exploring and innovating within our fields. As a Data Scientist, you will bring elements of statistical machine learning to explore prognostic and predictive models toward various drug development objectives.

As a Data Scientist you will:

• Apply relevant statistical, ML and AI methods to solve complex challenges in the pharmaceutical development space
• Collaborate with other data scientists to design, code, train, test, and deploy various AI and machine learning solutions
• Evaluate algorithms and ML models for effectiveness and accuracy
• Implement and maintain local and cloud-based data and computational environment to integrate data and solutions from different sources
• Actively participate in cross-functional teams to develop multiple AI and ML solutions

The Data Scientist AI/ML reports to the head of the related research area and will have a variety of internal and external stakeholders across US, Denmark and UK to understand challenges, identify areas of innovation, and build solutions using appropriate technologies.

Internal partners include data scientists, specialists, engineers, software developers, technology scouts & partnership developers, system engineers, designers, anthropologists, medical doctors, IT professionals, and others across US, Denmark and UK. External relationships include commercial and academic collaboration partners.

You will have extensive collaboration with data scientists, engineers and scientists from other disciplines to complete daily tasks and to design and iterate on solutions.

Qualifications

A PhD with 1+ year of relevant experience is preferred; a Master’s degree with 3+ years of experience will be considered. Degrees within biostatistics, computer science, molecular biology, computational biology, or a related quantitative discipline preferred.

Relevant experience includes:

• Experience building machine learning/deep learning models
• Strong programming skills in python/R
• Hands-on experience with data science packages (Tensorflow, Pytorch, Keras, pandas, scikit-learn, Jupyter, NetworkX etc.)
• Knowledge of fundamental statistical models and methods
• Ability to perform in-depth data analysis and present results
• Knowledge of data visualization tools such as Shiny, Dash, Amazon QuickSight, MS Power BI, etc.
• Experience with version control, test, and deployment
• Experience with data integration and wrangling techniques.
• Work collaboratively across multiple disciplines to drive innovation 

 Preferred experience includes:

• Experience in the areas of causal inference, adversarial reinforcement learning, transfer and transductive learning, and knowledge graphs (Neo4j, OpenCypher) is preferred
• Ability to read and implement ideas or code from research papers.
• Experience in build, read, write, & other complex operations and visualizations of graph databases
• Knowledge in graph machine learning and experience in tools such as PyG and DGL
• Familiarity with ETL workflow and tools
• Experience working with structured and unstructured multi-domain data from diverse sources
• Experience working in a cloud environment/platform, preferably in AWS
• Working experience in Software Development Lifecycles, agile methodologies, and continuous integration
• Strong academic background with a demonstrated record toward innovation using modern ML/AI methods

Working at Novo Nordisk

Everything we do starts and ends with the patient. And, while changing the future of chronic disease treatment, such as diabetes and obesity, is no easy task, we also recognize the importance of an enjoyable workplace, which is why we’ve cultivated a culture of fun, ingenuity, and innovation. Our competitive compensation package and support of a healthy work-life balance all add to a best-in-class employee experience.

Contact

To learn more about the role, reach out to Rishi Karvir, Sr. Dir AI Machine Learning, at +1 445 245 6282 (direct) or at hkvr@novonordisk.com

Applications will be reviewed continuously, and interviews will be planned as soon as a suitable candidate is identified.

You do not need to attach a cover letter to your application, but please include a few sentences about why you are applying in your resume or CV. To ensure an efficient and fair recruitment process, please refrain from adding a photo in your CV.

We commit to an inclusive recruitment process and equality of opportunity for all our job applicants. 

At Novo Nordisk we recognize that it is no longer good enough to aspire to be the best company in the world. We need to aspire to be the best company for the world and we know that this is only possible with talented employees with diverse perspectives, backgrounds and cultures. We are therefore committed to creating an inclusive culture that celebrates the diversity of our employees, the patients we serve and communities we operate in. Together, we’re life changing.